five

BayOMA identification results of a laboratory cantilever beam with a reversible damage mechanism

收藏
DataCite Commons2024-11-06 更新2025-04-15 收录
下载链接:
https://data.uni-hannover.de/dataset/02ceeb4a-f6bb-42c0-babd-f985f4e62ac1
下载链接
链接失效反馈
官方服务:
资源简介:
The presented data shows the Bayesian operational modal analysis (BayOMA) identification results used in the study of Wolniak et al.[1] for the dataset published by Wolniak et al. [2]. For a detailed description of the experimental setup, please see Wolniak et al.[3]. References: [1] M. Wolniak, B. Hofmeister, N. Dierksen, J. Ragnitz, C. Jonscher, C. Hübler, R. Rolfes, Uncertainty quantification for damage assessment using repeated deterministic model updating (2023) Preprint available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4991201 [2] M. Wolniak, B. Hofmeister, C. Jonscher,M. Fankhänel, A. Loose, C. Hübler, R. Rolfes, Measurement data of a laboratory steel cantilever beam with a reversible damage mechanism (2022). doi:https://doi.org/10.25835/123gy6gm. [3] M. Wolniak, B. Hofmeister, C. Jonscher, M. Fankhänel, A. Loose, C. Hübler, R. Rolfes, Validation of an fe model updating procedure for damage assessment using a modular laboratory experiment with a reversible damage mechanism, Journal of Civil Structural Health Monitoring 13 (6-7) (2023) 1185–1206. doi:10.1007/s13349-023-00701-9.
提供机构:
LUIS
创建时间:
2024-11-06
二维码
社区交流群
二维码
科研交流群
商业服务